Title |
Imaging activated T cells predicts response to cancer vaccines
|
---|---|
Published in |
Journal of Clinical Investigation, May 2018
|
DOI | 10.1172/jci98509 |
Pubmed ID | |
Authors |
Israt S Alam, Aaron T Mayer, Idit Sagiv-Barfi, Kezheng Wang, Ophir Vermesh, Debra K Czerwinski, Emily M Johnson, Michelle L James, Ronald Levy, Sanjiv S Gambhir |
Abstract |
In situ cancer vaccines are under active clinical investigation due to their reported ability to eradicate both local and disseminated malignancies. Intratumoral vaccine administration is thought to activate a T cell mediated immune response, which begins in the treated tumor and cascades systemically. We describe a positron emission tomography tracer (64Cu-DOTA-AbOX40) that enabled non-invasive and longitudinal imaging of OX40, a cell surface marker of T cell activation. We report the spatiotemporal dynamics of T cell activation following in situ vaccination with CpG oligodeoxynucleotide, in a dual tumor bearing mouse model. We demonstrate that OX40 imaging could predict tumor responses at day 9 post treatment based on tumor tracer uptake at day 2, with higher accuracy than both anatomical and blood-based measurements. These studies provide key insights into global T cell activation following local CpG treatment and indicate that 64Cu-DOTA-AbOX40 is a promising candidate for monitoring clinical cancer immunotherapy strategies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 31% |
Canada | 3 | 9% |
United Kingdom | 2 | 6% |
Germany | 1 | 3% |
Colombia | 1 | 3% |
Mongolia | 1 | 3% |
France | 1 | 3% |
Russia | 1 | 3% |
Singapore | 1 | 3% |
Other | 0 | 0% |
Unknown | 13 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 66% |
Scientists | 9 | 26% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 105 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 25% |
Student > Ph. D. Student | 18 | 17% |
Student > Doctoral Student | 9 | 9% |
Student > Master | 9 | 9% |
Other | 7 | 7% |
Other | 15 | 14% |
Unknown | 21 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 19 | 18% |
Medicine and Dentistry | 19 | 18% |
Immunology and Microbiology | 18 | 17% |
Engineering | 7 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
Other | 15 | 14% |
Unknown | 22 | 21% |